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Python Object-Oriented Programming

You're reading from   Python Object-Oriented Programming Build robust and maintainable object-oriented Python applications and libraries

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Length 714 pages
Edition 4th Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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Toc

Table of Contents (17) Chapters Close

Preface 1. Object-Oriented Design 2. Objects in Python FREE CHAPTER 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

Background on concurrent processing

Conceptually, it can help to think of concurrent processing by imagining a group of people who can't see each other and are trying to collaborate on a task. Perhaps their vision is impaired or blocked by screens, or their workspace has awkward doorways they can't quite see through. These people can, however, pass tokens, notes, and work-in-process to each other.

Imagine a small delicatessen in an old seaside resort city (on the Atlantic coast of the US) with an awkward countertop layout. The two sandwich chefs can't see or hear each other. While the owner can afford to pay two fine chefs, the owner can't afford more than one serving tray. Due to the awkward complications of the ancient building, the chefs can't really see the tray, either. They're forced to reach down below their counter to be sure the serving tray is in place. Then, assured the tray is there, they carefully place their work of art – complete...

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